We present a novel image-based technique for modeling complex unfoliaged trees. Existing tree modeling tools either require capturing a large number of views for dense 3D reconstr...
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
The use of cone beam computed tomography (CBCT) is growing in the clinical arena due to its ability to provide 3-D information during interventions, its high diagnostic quality (su...
Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials...
The appearance manifold [WTL 06] is an efficient approach for modeling and editing time-variant appearance of materials from the BRDF data captured at single time instance. Howeve...
Su Xue, Jiaping Wang, Xin Tong, Qionghai Dai, Bain...